A range of views, including those of executives, technologists, and industry enthusiasts, contribute to the ITTIA Blogs. With our network of embedded experts, partners, and associates, we aim to promote dialogue and the exchange of ideas about the rapidly changing field of intelligent data management for AI and IoT on embedded systems. Therefore, our blogs contain important updates and insights from developers, scientists and experts who gained our respect in the embedded industry.
Why STM32H5 Robotics Needs a Data Foundation for Physical AI
Robots built on STM32H5 continuously generate data from motors, encoders, IMUs, vibration sensors, force sensors, current measurements, temperature sensors, and other physical inputs. But raw sensor…
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Why Feature Engineering and AI Preparation Matter for Physical AI in Robotics
For Physical AI in robotics, feature engineering on MCUs embedded with ITTIA DB Lite helps turn continuous sensor data into the information needed to understand, decide, act, observe, and improve.…
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Why Streaming Data Is Essential for Physical AI on NXP S32 Platforms
ITTIA DB Platform Turns NXP-S32 Real-Time Data Streams into Context, Intelligence, and Physical Action. From CAN signals, battery measurements, motor vibration, temperature, current, RPM, and…
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Collecting and Training Physical AI with Real-World Data
With STM32 devices and ITTIA DB Lite, developers can build a structured data pipeline directly on the MCU. ITTIA DB Lite helps preserve structured sensor history and operating context. It can prepare…
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